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Figure 1 | BMC Bioinformatics

Figure 1

From: Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data

Figure 1

Classification performance of SVM-RCE of Head & Neck vs. Lung tumors (I). All of the values are an average of 100 iterations of SVM-RCE. ACC is the accuracy, TP is the sensitivity, and TN is the specificity of the remaining genes determined on the test set. Avg is the average accuracy of the individual clusters at each level of clusters determined on the test set. The average accuracy increases as low-information clusters are eliminated. The x-axis shows the average number of genes hosted by the clusters.

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BMC Bioinformatics

ISSN: 1471-2105

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